Abstract
The pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 instigated the most serious global health crisis. Clinical presentation of COVID-19 frequently includes severe neurological and neuropsychiatric symptoms. However, it is presently unknown whether and to which extent pathological impairment of blood-brain barrier (BBB) contributes to the development of neuropathology during COVID-19 progression. In the present study, we used human induced pluripotent stem cells-derived brain endothelial cells (iBECs) to study the effects of blood plasma derived from COVID-19 patients on the BBB integrity in vitro. We also performed a comprehensive analysis of the cytokine and chemokine profiles in the plasma of COVID-19 patients, healthy and recovered individuals. We found significantly increased levels of interferon γ-induced protein 10 kDa, hepatocyte growth factor, and interleukin-18 in the plasma of COVID-19 patients. However, blood plasma from COVID-19 patients did not affect transendothelial electrical resistance in iBEC monolayers. Our results demonstrate that COVID-19-associated blood plasma inflammatory factors do not affect BBB paracellular pathway directly and suggest that pathological remodeling (if any) of BBB during COVID-19 may occur through indirect or yet unknown mechanisms.
Keywords: COVID-19, blood-brain barrier; TEER; cytokines; plasma
Graphical Abstract
Graphical Abstract.
Introduction
The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in significant morbidity and mortality worldwide. While primarily targeting the respiratory system, SARS-CoV-2 frequently affects the central nervous system (CNS) by both direct and indirect mechanisms.1–4 The COVID-19 infection is associated with a wide range of neurological or neuropsychiatric symptoms, such as anosmia and ageusia, headache, dizziness, confusion, encephalopathy, ischemic stroke, Guillain-Barré syndrome, cognitive impairment, and others.2,5–8
Several postmortem studies demonstrated the presence of SARS-CoV-2 viral RNA and proteins in various regions of the brain,9–11 indicating the entrance of viral particles into the CNS. Conceptually, there are several possible routes for the SARS-CoV-2 virus invasion into the brain.12 In particular, SARS-CoV-2 can infect the sustentacular glial cells of the olfactory epithelium in the nasal cavity, subsequently gaining access to the brain through the olfactory nerve.13–15 Potentially, the virus can enter the CNS by transmigration within infected hematopoietic cells, utilizing the so-called “Trojan horse” mechanism.12 Finally, the SARS-CoV-2 virus can gain an access to the brain parenchyma by paracellular traversal through a disrupted blood-brain barrier (BBB). The BBB is a highly selective and dynamic interface that separates the blood from the CNS.16,17 It is composed of specialized brain endothelial cells (BECs) that line the brain vessels, along with astrocytes, pericytes, parenchymal and endothelial basement membranes, and perivascular space that mount the barrier protecting the CNS from pathogens and toxins.18,19 Accumulating evidence indicates that cerebral vascular dysfunction is a common feature of COVID-19: Postmortem studies on COVID-19 patients described hemorrhages and ischemic lesions in the CNS,9,11,20 whereas imaging studies on recovering patients similarly revealed abnormalities in cerebral blood flow and hypometabolism, indicating disruption of the BBB.21
The SARS-CoV-2 virus enters host cells through the angiotensin-converting enzyme 2 (ACE2) receptor, which is expressed in various tissues, including BECs,22 and therefore can target BBB directly. It was shown that the SARS-CoV-2 virus infects and replicates in cultured human inducible pluripotent stem cell (iPSC)-derived BECs (iBECs), which, however, does not affect barrier function.23 At the same time, the SARS-CoV-2 spike proteins directly interact with BECs in vitro and may alter BBB function.21,24 However, infection of BECs with SARS-CoV-2 in vivo has not yet been demonstrated.
COVID-19 is accompanied by an excessive systemic release of proinflammatory cytokines into the blood, a phenomenon known as cytokine storm.25 Several specific cytokine and chemokine profiles have been linked to COVID-19 severity and neurological complications.26,27 However, the effects of cytokines and chemokines secreted during SARS-CoV-2 infection on the BBB function were not systematically investigated. Proinflammatory cytokines and chemokines can affect BBB by the following mechanisms: (i) directly affecting BECs, thus causing disruption of the BBB; (ii) stimulating the release of inflammatory mediators by BECs into the brain parenchyma to induce reactive astrogliosis and microgliosis, leading to the secondary BBB damage; (iii) penetration of BBB by proinflammatory cytokines and chemokines, causing neuroinflammation, leading to the secondary BBB injuries; and (iv) combinations of above.
Therefore, it is important to understand the intricate connections between blood cytokine/chemokine profiles, BBB integrity, and the severity of neurological manifestations of COVID-19. This may facilitate the development of potent diagnostic tools, enabling early prediction and prevention of neurologic complications in COVID-19 patients.
Current technologies enable the generation of human iBECs monocultures with transendothelial electrical resistance (TEER) in the range of 4000-5000 Ω cm2, which is close to the readings obtained in vivo.28,29 In the present study, we directly monitored BBB function in response to the blood plasma from COVID-19 patients. We also characterized blood plasma cytokine/chemokine profiles and found significantly increased levels of interferon γ-induced protein 10 kDa (IP-10), hepatocyte growth factor (HGF), and interleukin-18 (IL-18) in the plasma of COVID-19 patients when compared with healthy and/or recovered individuals. However, blood plasma from COVID-19 patients did not affect BBB electrical resistance. Our results show that COVID-19-associated blood plasma inflammatory factors do not affect BBB paracellular pathway directly and suggest that pathological remodeling (if any) of BBB during COVID-19 may occur through indirect or yet unknown mechanisms.
Methods
Patient Information and Data Collection
This study examined 33 patients who were diagnosed with COVID-19 and were admitted to the Centre of Infectious Diseases of Vilnius University Hospital Santaros Klinikos between 2022 and 2023. We also assessed 30 healthy and 18 recovered subjects. Clinical information and laboratory samples were collected immediately after hospitalization. The permission to conduct this biomedical research was issued by the Vilnius Regional Biomedical Research Ethics Committee (2022/2-1407-879).
The median age of the subjects was 46 years (interquartile range (IQR) 38-58). The youngest subject was 20 and the oldest was 65 years old, 37 (46.27%) of the subjects were female and 43 (53.75%) were male.
All study participants voluntarily gave informed consent to participate in the study.
Collection of Plasma Samples
Whole blood samples were collected in ethylenediaminetetraacetic acid and sodium heparin tubes. Within 30 min, samples were centrifuged at 1000 × g for 10 min at 4°C to obtain plasma. Plasma was transferred in conical centrifuge tubes and subjected to inactivation at 56°C for 30 min. Afterward, plasma was centrifuged at 1000 × g for 10 min at 4°C, aliquoted in cryotubes, and stored at −80°C until further use.
Maintenance of iPSCs and Differentiation to the Brain Capillary Endothelial Cells
Human exfoliated deciduous teeth stem cell (SHED)-derived iPSCs (female, 7 years old) were cultured on matrigel-coated (Corning) plates with Essential 8 Flex medium (E8) in the incubator (37°C and 5% CO2). Inducible pluripotent stem cells were differentiated to iBECs according to slightly modified previously published protocol.29 Briefly, 24 h after splitting, the differentiation was initiated by changing the E8 to the Essential 6 (E6) medium (Thermo Fisher Scientific). Essential 6 was fully refreshed every 24 h for 4 d. On the fifth day, the E6 was changed to the human endothelial serum-free medium (hESFM, Thermo Fisher Scientific) supplemented with 20 ng/mL bFGF (Thermo Fisher Scientific), 10 μm retinoic acid (Merck Darmstadt, Germany), and 0.25 × B-27 (Thermo Fisher Scientific). After 48 h, the same medium was fully refreshed. The next day cells were split for selection on 400 μg/mL collagen-IV and 100 μg/mL fibronectin-coated (both from Merck) Transwell inserts (Corning) in hESFM medium supplemented with 0.25 × B-27, 50 U/mL and 50 µg/mL penicillin-streptomycin (Thermo Fisher Scientific, hESFM + B-27 + P/S).
Measurement of TEER
Transendothelial electrical resistance monitoring was used as a readout of BBB integrity. Transendothelial electrical resistance of iBECs monolayers was monitored every hour using the CellZscope system (NanoAnalytics, Münster, Germany), beginning immediately after seeding cells on the insert (at −24 h) and were carried out for 24-48 h in the presence of plasma after its addition at 0-h time point. The inserts plated with iBECs were immediately loaded into a 24-well cell module of a CellZscope system prefilled with hESFM + B-27 + P/S and grown in the incubator (37°C and 5% CO2). Twenty-four hours after plating, the hESFM + B-27 + P/S was refreshed, and the cells were treated with 50% plasma (v/v in the same medium) collected from three different groups: healthy volunteers, COVID-19 infected patients, and recovered COVID-19 patients.
Immunofluorescence
After TEER measurements, the culture medium was aspirated and the cells were washed with physiological buffer solution (PBS) 3 times. Cells were fixed and permeabilized using ice-cold (−20°C) methanol-acetone solution (1:1), for 10 min at −20°C. Then, the membrane of the Transwell insert was cut out and placed on the parafilm. Cells were washed 3 times with PBS, blocked using 1% bovine serum albumin-PBS solution for 30 min at room temperature, then incubated with primary antibodies [against ZO-1 (1:33), occludin (1:50), and claudin-5 (1:100), in 1% bovine serum albumin-PBS] overnight at 4°C. After incubation, samples were washed 3 times with PBS and incubated with antirabbit IgG secondary antibodies conjugated with an Alexa Fluor-594, diluted in PBS (1:1000) for 1 h at room temperature in the dark. After incubation, the cells were washed again 3 times with PBS. Membrane with cells were placed on the objective slide in mounting medium with 4′,6-diamidino-2-phenylindole (DAPI) and covered with a coverslip. Samples were visualized with a Leica TCS SP8 confocal microscope using Diode 405 nm, diode-pumped solid-state (DPSS) 561 nm, lasers. Photos were taken with a 63× immersion lens.
Cytokine Measurements
For multiplex quantitative cytokine analysis, ProcartaPlex™ immunoassays were applied, using the Luminex 200™ detection system (Invitrogen). Plasma cytokine levels were determined by commercial multiplex immunoassays (Invitrogen, Thermo Fischer Scientific) according to the manufacturer’s instructions. Cytokine concentrations were measured in duplicates from previously unthawed plasma samples using the ProcartaPlex™ Human Cytokine/Chemokine/Growth Factor Convenience Panel 1 45-Plex (EPXR450-12171-901), the ProcartaPlex™ Human MixMatch 17-plex (PPX-17-MXYMK7R), and the ProcartaPlex™ Human RANTES (CCL5) Simplex/Basic Kit (EPX010-10420-901, EPX01A-10287-901). Frozen plasma samples were thawed at room temperature, spun at 1000 × g for 10 min, and transferred to a new Eppendorf tube before immunoassay.
The multiplex immunoassays applied in this study consist of most relevant cytokines, chemokines, and growth factors typically found in systemic inflammation. The following cytokines were analyzed: brain-derived neurotrophic factor (BDNF), epidermal growth factor (EGF), eotaxin (CCL11), fibroblast growth factor (FGF-2), granulocyte-macrophage colony stimulating factor, growth-regulated protein-α (GRO-α/CXCL1), HGF, interferon-α (IFN-α), IFN-γ, interleukin 1 receptor antagonist (IL-1RA), IL-1α, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12p70, IL-13, IL-15, IL-17A (CTLA-18), IL-18, IL-21, IL-22, IL-23, IL-27, IL-31, IFN-γ-inducible protein 10 (IP-10/CXCL10), leukemia inhibitory factor (LIF), monocyte chemotactic protein 1 (MCP-1/CCL2), macrophage inflammatory protein type 1 α (MIP-1α/CCL3), MIP-1β (CCL4), β-nerve growth factor (NGF-β), regulated on activation, normal T-cell expressed and secreted (RANTES/CCL5), platelet-derived growth factor-BB (PDGF-BB), placenta growth factor 1 (PIGF-1), stem cell factor (SCF), stromal cell-derived factor 1 (SDF-1α), tumor necrosis factor-α (TNF-α), TNF-β, vascular endothelial growth factor-A (VEGF-A), and VEGF-D.
Cytokine concentrations were calculated using the standard curve generated by 5-parameter logistic regression method.
Statistical Analysis
Statistical analysis was performed using Graph Pad Prism® software 8.0.2 (GraphPad Software, Inc., USA). Differences between the groups were compared by 2-way ANOVA (following Tukey’s multiple comparisons test) or nonparametric Kruskal-Wallis test (following Dunn’s multiple comparisons test). Results were considered as significant when P < 0.05.
Results
Plasma of COVID-19 Patients Does Not Affect TEER
To investigate the potential effect of patient-derived blood plasma on the integrity of the BBB, iBECs were seeded on Transwell inserts and treated with patient-derived blood plasma, obtained from three different groups: healthy volunteers, COVID-19 patients, and recovered COVID-19 patients. The treatment involved applying 50% (v/v) plasma to the cells.
We first tested the effects of exposure of endothelial monolayer to pooled plasma administered at the apical, basolateral or both sides of the Transwell inserts. Our results show that plasma contacting only basolateral or apical and basolateral sides completely inhibited TEER of iBEC monolayers, whereas iBECs exposed to the plasma only from the apical side demonstrated normal TEER readings (Figure 1A).
Figure 1.
The effects of plasma on human induced brain endothelial cells (iBECs) exposed from the apical, basolateral, or both sides. Cells were treated with 50% plasma (v/v) from apical, basolateral, or both sides of the insert, control—plasma nontreated cells. (A) Dynamic changes in transendothelial electrical resistance (TEER). Data are presented as a mean ± SD. *Statistically significant difference between apical and basolateral treatments, #statistically significant difference between apical and apical + basolateral treatments. *, #P < 0.05, **, ##P < 0.01, N = 3. (B) Immunofluorescence analysis of iBEC cultures, stained with antibodies against tight junction (TJ) proteins claudin-5, occludin, zonula occludens-1 (ZO-1).
Immediately after TEER measurements, cells were fixed for immunostaining with antibodies against TJ proteins claudin-5, occludin, and zonula occludens-1 (ZO-1). Confocal microscopy images showed that exposure to plasma from basolateral and both sides disrupted TJs in iBEC monolayers as evidenced by more irregular and fragmented staining patterns of TJ proteins when compared to controls or cells treated from the apical side (Figure 1B).
Next, we investigated the effects of plasma from healthy, recovered subjects and COVID-19 patients administered to the apical side of the monolayer on its electrical resistance. Dynamic changes in TEER values show a similar trend for all groups (Figure 2B), starting to rise around 12 h after seeding the cells on Transwell inserts and reaching the values of ∼2500 Ω cm2 after 24 h after seeding when the plasma was added (zero time point). Immediately after the addition of plasma, TEER dropped slightly probably reflecting injection artefact. Following this drop, TEER continued to rise steadily and reached its peak exceeding 4000 Ω cm2 around 12 h after the addition of plasma. After reaching the peak, the TEER slowly started to decline but remained above 2000 Ω cm2 at the end of the 48-h measurement period. Analysis of TEER data did not reveal any significant differences between experimental groups at any time point during the 48-h observation period after plasma addition.
Figure 2.
The effect of plasma from healthy volunteers, COVID-19 patients, and recovered subjects on TEER of human iBECs monolayers. (A) Experimental protocol. (B) Time course of TEER (Ω cm2) changes of iBECs grown on transwell inserts and treated with plasma from apical side; data are presented as a mean ± SD. Healthy volunteers (N = 20), COVID-19 patients (N = 24), and recovered subjects (N = 17).
Cytokine Profiles of Plasma of COVID-19 Patients, Recovered Patients, and Healthy Controls
We compared concentrations of cytokines, chemokines, and growth factors in the plasma of hospitalized COVID-19 patients with healthy and recovered individuals. We first used a 45-analyte multiplex immunoassay panel to measure plasma levels of 45 cytokines in COVID-19 patients (N = 18), recovered (N = 13), and healthy (N = 9) subjects (Figure 2). Analysis of cytokine profiles showed increased plasma levels of IP-10, HGF, VEGF-A, IL-7, IL-18, and MCP-1/CCL2 in COVID-19 patients. However, statistically significant differences between tested groups were found only for IP-10 and HGF. Concentrations of IP-10 were statistically higher in blood plasma of COVID-19 patients compared to recovered subjects (P < 0.05). Statistically significantly higher levels of HGF were detected in the plasma of COVID-19 patients compared to healthy (P < 0.05) and recovered (P < 0.001) subjects. We also observed that SCF levels in COVID-19 patients were statistically significantly lower than in healthy individuals (P < 0.05). Eotaxin/CCL11, BDNF, LIF, PIGF-1, PDGF-BB, MIP-1α/CCL3, MIP-1 β/CCL4, RANTES/CCL5, SDF-1α, and VEGF-D were detected in the plasma of all 3 groups but showed no significant differences between the tested groups. From the 45 analytes assessed, 15 were below the lower limit of quantification in 90% of all samples (irrespective of group) and were therefore excluded from further analysis. A total of 12 analytes were observed at detectable levels in some samples of all 3 groups but showed no significant differences between the tested groups and were also excluded from further analysis.
Therefore, we further determined the levels of 18 cytokines (IP-10, HGF, IL-7, IL-18, IL-31, MCP-1/CCL2, eotaxin/CCL11, BDNF, LIF, PIGF-1, PDGF-BB, MIP-1α/CCL3, MIP-1 β/CCL4, RANTES/CCL5, SDF-1α, SCF, VEGF-A, and VEGF-D) in the plasma of COVID-19 patients (N = 13), healthy (N = 20), and recovered (N = 5) subjects.
The final analysis of the cytokine assays showed that the levels of IP-10, HGF, IL-18, eotaxin, RANTES, and MIP-1β were statistically significantly different between the tested groups (Figure 3). Concentrations of IP-10 and HGF were statistically higher in blood plasma of COVID-19 patients compared to recovered (P < 0.0001) and healthy (P < 0.05 and P < 0.001) subjects. Statistically significantly higher levels of IL-18 were detected in the plasma of COVID-19 patients compared to recovered subjects (P < 0.05). Meanwhile, the levels of eotaxin in healthy subjects were statistically significantly higher than in COVID-19 patients and recovered individuals (P < 0.05). Plasma MIP-1β levels were significantly higher in healthy subjects than in recovered individuals (P < 0.05), while RANTES levels were significantly higher in recovered than in healthy subjects (P < 0.05).
Figure 3.
Plasma cytokine profiles of COVID-19 patients, recovered subjects, and healthy controls. The plasma cytokine levels of (A) MIP-1 beta, (B) RANTES, (C) IL-18, (D) IP-10, (E) Eotaxin, and (F) HGF from healthy volunteers (N = 29), COVID-19 patients (N = 31), and recovered (N = 18) subjects. Data are presented as a median with 95% confidence interval, *P < 0.05, ***P < 0.001, #P < 0.0001.
Thus, our results showed that COVID-19 significantly increases the levels of IP-10, HGF, and IL-18 in the plasma of COVID-19 patients compared to healthy and/or recovered individuals. As all COVID-19 patients in our study were hospitalized, it is reasonable to consider IP-10, HGF, and IL-18 as biomarkers of disease severity in SARS-CoV-2 infected patients.
Discussion
In the present study, we investigated the effects of COVID-19 patient-derived blood plasma on the in vitro model of human BBB. The apical side of iBECs monolayers was directly exposed to the heat-inactivated patient or healthy subject-derived plasma and TEER was continuously monitored during a 48-h period. Using this experimental model, we were able to achieve peak TEER values exceeding 4000-5000 Ω cm2, thus showing compatibility of BECs to the exposure with human plasma. We also found that exposure of iBECs to the plasma either from basolateral or basolateral and apical sides completely disrupted barrier function; at the same time plasma administration at the apical side only did not decrease TEER (Figure 1). Apicobasal polarization is crucial for the proper barrier function of the BECs.30,31 Extravasated blood plasma components are directly toxic to the brain parenchyma and also trigger massive secondary disruption of the BBB, leading to the brain oedema and tissue necrosis.32 Our in vitro model demonstrates the importance of apicobasal polarity for BEC barrier function and could be used for the modeling of different pathological conditions related to the secondary BBB injury.
We found no changes in the TEER values between the experimental groups consisting of SARS-CoV-2-infected patients and healthy or recovered individuals. We suggest that our results could be explained by the following: (i) experimental design and (ii) heat-insensitive COVID-19-associated blood plasma inflammatory factors do not affect BEC barrier functions directly.
In this study, we used heat-inactivated blood plasma (56°C for 30 min). Heat inactivation was necessary to prevent complement-mediated lysis in cell cultures and as a safety precaution for the effective inactivation of SARS-CoV-2 viral particles. However, heat inactivation can affect quantities and biological activity of soluble factors present in plasma. Comparison of proteomic profiles revealed downregulation of many cytokines, chemokines, and growth factors in heat-inactivated plasma.33 It was also demonstrated that plasma from patients hospitalized with acute SARS-CoV-2 infection decreased transendothelial resistance of human lung microvascular endothelial cells, but these destructive effects were susceptible to heat inactivation.34 Finally, complement components can by themselves damage BBB. Various injuries may initiate the inflammatory response of BECs by promoting activation and binding of circulating complement components to the abluminal membranes, stimulating the secretion of proinflammatory factors and instigating BBB leakage.35,36 We, therefore, cannot exclude the possibility that heat-sensitive components present in the plasma of SARS-CoV-2-infected patients may affect the electrical resistance of iBEC monolayers. Further studies are needed to address this question.
Our data demonstrate that heat-insensitive COVID-19-associated blood plasma inflammatory factors do not affect BEC barrier functions directly. However, we do not exclude the possibility that COVID-19-associated plasma factors can trigger BECs to release proinflammatory factors into the brain parenchyma leading to secondary BBB damage. For instance, infection of human iPSCs-derived BECs with SARS-CoV-2 did not affect barrier properties but upregulated IFN-γ signaling, and these results were consistent with histopathological studies showing upregulated IFN-γ pathway in COVID-19 human neurovascular unit.23 Finally, BBB can selectively transport several proinflammatory cytokines from the peripheral circulation into the brain parenchyma and promote secondary BBB injury.37 In the future, a systematic comparison of molecular responses between BECs exposed to COVID-19 and control plasma may resolve this issue.
After analyzing 45 cytokines in the plasma of COVID-19 patients, we found that only the levels of IP-10, HGF, and IL-18 were significantly higher in COVID-19 patients compared to healthy and/or recovered subjects. IL-18 is known as a proinflammatory cytokine involved in host defense against infections and regulating innate and acquired immune responses.38 Our results are in agreement with other studies showing correlations of IL-18 serum levels with other markers of inflammation and disease severity.8,39–41
Interferon-γ-induced protein (IP-10), also known as small inducible cytokine B10, belongs to the CXC chemokine family (also known as CXCL10). This 10-kDa cytokine recruits immune cells, including T cells, natural killer cells, and macrophages, to the inflamed tissue in inflammatory diseases. IP-10 induces T cells and is therefore important for antiviral defense. It is upregulated in the blood of hospitalized COVID-19 patients.42 These data corroborate our study, where IP-10 was significantly higher in the plasma of COVID-19 patients than in the plasma of healthy (P < 0.05) and recovered (P < 0.0001) subjects. Comparison of cytokine expression profiles between critically ill, severe, and moderate COVID-19 cases revealed a significant association of IP-10 with disease severity.43 Previous studies demonstrated that IP-10 is one of the most abundant and the earliest chemokines associated with BBB damage in various viral infections.44 Besides COVID-19, IP-10 was also associated with the severity of diseases caused by other viruses such as MERS-CoV and influenza.45,46 Inducible protein 10 is considered as a biomarker of multiple CNS diseases and closely correlates with BBB pathological changes.47–49 In Japanese encephalitis, for example, IP-10 promoted BBB damage by inducing TNF-α production through the JNK-c-Jun signaling pathway; in turn, TNF-α affected the expression and distribution of tight junctions in brain microvascular endothelial cells resulting in BBB damage.44 However, in our study, TNF-α levels were below the lower limit of quantification in 95% of all tested samples. This possibly reflects an inappropriate inflammatory response that may occur during COVID-19.50
We also found that plasma HGF levels were significantly higher in COVID-19 patients than in recovered (P < 0.001) and healthy (P < 0.05) subjects. Hepatocyte growth factor produced by stromal and mesenchymal cells regulates epithelial cell proliferation, motility, morphogenesis, and angiogenesis.51 Hepatocyte growth factor is a pleiotropic cytokine with anti-inflammatory properties that plays a key role in lung tissue repair and can modulate the adaptive immune response.52,53 Increased HGF production induced by lung injury promotes tissue repair.51 In general, increased circulation of growth factors such as HGF is associated with repair mechanisms following acute lung injury during SARS-CoV-2 infection.54 However, a marked increase in HGF was also significantly correlated with disease severity.51,54 Hepatocyte growth factor is also a marker of neutrophil activation, it was considered as one of the strongest indicators of critical illness in COVID-19.55 Moreover, upregulated HGF in intensive care unit patients is elevated in chronic inflammatory diseases.56 In our study, HGF levels in the blood of COVID-19 patients were 11 times higher than in recovered subjects (P < 0.001) and 5 times higher than in healthy subjects (P < 0.05). Our findings are in agreement with studies showing an association of HGF with the severity of COVID-19.43,52
Throughout the course of the COVID-19 pandemic, various strains of the SARS-CoV-2 virus have emerged, exhibiting different characteristics and potential pathological effects.57 It is worth noting that most of the published research investigating cytokine profiles and viral impact on the BBB was conducted during the early and middle stages of the pandemic. However, for our study, blood plasma samples were collected during the period from February 2022 to April 2023, which represents a later stage of the pandemic. It is plausible to speculate that the novel circulating viral strains, which emerged during this period, may have undergone genetic variations and evolutionary changes, potentially leading to alterations in cytokine profiles and their influence on BBB.
In conclusion, our study demonstrates that blood plasma from COVID-19 patients, although enriched with pathologically relevant cytokines and chemokines, does not affect BBB electrical resistance. Our findings warrant further research to explore possible indirect mechanisms of pathological BBB remodeling during COVID-19.
Contributor Information
Agnė Pociūtė, Department of Stem Cell Biology, State Research Institute Centre for Innovative Medicine, LT-01102 Vilnius, Lithuania.
Karolina Kriaučiūnaitė, Department of Stem Cell Biology, State Research Institute Centre for Innovative Medicine, LT-01102 Vilnius, Lithuania.
Aida Kaušylė, Department of Stem Cell Biology, State Research Institute Centre for Innovative Medicine, LT-01102 Vilnius, Lithuania.
Birutė Zablockienė, Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania; Centre of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, LT-08406 Vilnius, Lithuania.
Tadas Alčauskas, Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania.
Augustė Jelinskaitė, Centre of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, LT-08406 Vilnius, Lithuania.
Akvilė Rudėnaitė, Centre of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, LT-08406 Vilnius, Lithuania.
Ligita Jančorienė, Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania; Centre of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, LT-08406 Vilnius, Lithuania.
Saulius Ročka, Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania; Center of Neurosurgery, Vilnius University Hospital Santaros Klinikos, LT-08661 Vilnius, Lithuania.
Alexei Verkhratsky, Department of Stem Cell Biology, State Research Institute Centre for Innovative Medicine, LT-01102 Vilnius, Lithuania; Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK; Achucarro Centre for Neuroscience, IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain; Department of Forensic Analytical Toxicology, School of Forensic Medicine, China Medical University, Shenyang, 110052, China.
Augustas Pivoriūnas, Department of Stem Cell Biology, State Research Institute Centre for Innovative Medicine, LT-01102 Vilnius, Lithuania.
Funding
This study was supported by funding from European Regional Development Fund (project No 13.1.1-LMT-K-718-05-0005) under grant agreement with the Research Council of Lithuania (LMTLT) to A.V. and A.P. Funded as the European Union’s measure in response to the COVID-19 pandemic.
Conflict of Interest
A.V. holds the position of Editorial Board Member for Function and is blinded from reviewing or making decisions for the manuscript.
Data Availability
The data underlying this article will be shared on reasonable request to the corresponding author.
References
- 1. Carvalho T, Krammer F, Iwasaki A. The first 12 months of COVID-19: a timeline of immunological insights. Nat Rev Immunol. 2021;21(4):245–256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Steardo L Jr., Steardo L, Verkhratsky A. Psychiatric face of COVID-19. Transl Psychiatry. 2020;10(1):261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Steardo L, Steardo L Jr., Zorec R, Verkhratsky A. Neuroinfection may contribute to pathophysiology and clinical manifestations of COVID-19. Acta Physiologica. 2020;229(3):e13473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Tremblay ME, Madore C, Bordeleau M, Tian L, Verkhratsky A. Neuropathobiology of COVID-19: the role for Glia. Front Cell Neurosci. 2020;14:592214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Ellul MA, Benjamin L, Singh B et al. Neurological associations of COVID-19. Lancet Neurol. 2020;19(9):767–783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Liotta EM, Batra A, Clark JR et al. Frequent neurologic manifestations and encephalopathy-associated morbidity in COVID-19 patients. Ann Clin Transl Neurol. 2020;7(11):2221–2230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Mao L, Jin H, Wang M et al. Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China. JAMA Neurol. 2020;77(6):683–690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Zorec R, Verkhratsky A. Astrocytes in the pathophysiology of neuroinfection. Essays Biochem. 2023;67(1):131–145. [DOI] [PubMed] [Google Scholar]
- 9. Matschke J, Lutgehetmann M, Hagel C et al. Neuropathology of patients with COVID-19 in Germany: a post-mortem case series. Lancet Neurol. 2020;19(11):919–929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Meinhardt J, Radke J, Dittmayer C et al. Olfactory transmucosal SARS-CoV-2 invasion as a port of central nervous system entry in individuals with COVID-19. Nat Neurosci. 2021;24(2):168–175. [DOI] [PubMed] [Google Scholar]
- 11. Thakur KT, Miller EH, Glendinning MD et al. COVID-19 neuropathology at Columbia University Irving Medical Center/New York Presbyterian Hospital. Brain. 2021;144(9):2696–2708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Potokar M, Zorec R, Jorgacevski J. Astrocytes are a key target for neurotropic viral infection. Cells. 2023;12(18):2307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Butowt R, Bartheld CS. Anosmia in COVID-19: underlying mechanisms and assessment of an olfactory route to brain infection. Neuroscientist. 2021;27(6):582–603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Coolen T, Lolli V, Sadeghi N et al. Early postmortem brain MRI findings in COVID-19 non-survivors. Neurology. 2020;95(14):e2016–e2027. [DOI] [PubMed] [Google Scholar]
- 15. Verma AK, Zheng J, Meyerholz DK, Perlman S. SARS-CoV-2 infection of sustentacular cells disrupts olfactory signaling pathways. JCI Insight. 2022;7(24):e160277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Verkhratsky A, Pivoriunas A. Astroglia support, regulate and reinforce brain barriers. Neurobiol Dis. 2023;179:106054. [DOI] [PubMed] [Google Scholar]
- 17. Pivoriunas A, Verkhratsky A. Astrocyte-endotheliocyte axis in the regulation of the blood-brain barrier. Neurochem Res. 2021;46(10):2538–2550. [DOI] [PubMed] [Google Scholar]
- 18. Sweeney MD, Zhao Z, Montagne A, Nelson AR, Zlokovic BV. Blood-brain barrier: from physiology to disease and back. Physiol Rev. 2019;99(1):21–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Verkhratsky A, Butt A. Neuroglia: Function and Pathology. New York: Academic Press, Elsevier; 2023. [Google Scholar]
- 20. Jensen MP, Le Quesne J, Officer-Jones L et al. Neuropathological findings in two patients with fatal COVID-19. Neuropathol Appl Neurobiol. 2021;47(1):17–25. [DOI] [PubMed] [Google Scholar]
- 21. Vanderheiden A, Klein RS. Neuroinflammation and COVID-19. Curr Opin Neurobiol. 2022;76:102608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Buzhdygan TP, DeOre BJ, Baldwin-Leclair A et al. The SARS-CoV-2 spike protein alters barrier function in 2D static and 3D microfluidic in-vitro models of the human blood-brain barrier. Neurobiol Dis. 2020;146:105131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Krasemann S, Haferkamp U, Pfefferle S et al. The blood-brain barrier is dysregulated in COVID-19 and serves as a CNS entry route for SARS-CoV-2. Stem Cell Rep. 2022;17(2):307–320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Motta CS, Torices S, da Rosa BG et al. Human brain microvascular endothelial cells exposure to SARS-CoV-2 leads to inflammatory activation through NF-kappaB non-canonical pathway and mitochondrial remodeling. Viruses. 2023;15(3):745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Montazersaheb S, Hosseiniyan Khatibi SM, Hejazi MS et al. COVID-19 infection: an overview on cytokine storm and related interventions. Virol J. 2022;19(1):92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Mehta P, McAuley DF, Brown M et al. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020;395(10229):1033–1034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Ye Q, Wang B, Mao J. The pathogenesis and treatment of the “Cytokine Storm” in COVID-19. J Infect. 2020;80(6):607–613. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Kriauciunaite K, Pociute A, Kausyle A, Pajarskiene J, Verkhratsky A, Pivoriunas A. Concentration-dependent duality of bFGF in regulation of barrier properties of human brain endothelial cells. J Cell Physiol. 2021;236(11):7642–7654. [DOI] [PubMed] [Google Scholar]
- 29. Neal EH, Marinelli NA, Shi Y et al. A simplified, fully defined differentiation scheme for producing blood-brain barrier endothelial cells from human iPSCs. Stem Cell Rep. 2019;12(6):1380–1388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Dreifuss FE. On the occasion of the 80th anniversary of the founding of the ILAE. Epilepsia. 1989;30(4):387–388. [DOI] [PubMed] [Google Scholar]
- 31. Hudson N, Powner MB, Sarker MH et al. Differential apicobasal VEGF signaling at vascular blood-neural barriers. Dev Cell. 2014;30(5):541–552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Aronowski J, Zhao X. Molecular pathophysiology of cerebral hemorrhage: secondary brain injury. Stroke. 2011;42(6):1781–1786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Ayache S, Panelli MC, Byrne KM et al. Comparison of proteomic profiles of serum, plasma, and modified media supplements used for cell culture and expansion. J Transl Med. 2006;4:40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Kovacs-Kasa A, Zaied AA, Leanhart S et al. Elevated cytokine levels in plasma of patients with SARS-CoV-2 do not contribute to pulmonary microvascular endothelial permeability. Microbiol Spectr. 2022;10(1):e0167121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Orsini F, De Blasio D, Zangari R, Zanier ER, De Simoni MG. Versatility of the complement system in neuroinflammation, neurodegeneration and brain homeostasis. Front Cellular Neurosci. 2014;8:380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Propson NE, Roy ER, Litvinchuk A, Kohl J, Zheng H. Endothelial C3a receptor mediates vascular inflammation and blood-brain barrier permeability during aging. J Clin Invest. 2021;131(1):e140966. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Pan W, Stone KP, Hsuchou H, Manda VK, Zhang Y, Kastin AJ. Cytokine signaling modulates blood-brain barrier function. Curr Pharm Des. 2011;17(33):3729–3740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Ihim SA, Abubakar SD, Zian Z et al. Interleukin-18 cytokine in immunity, inflammation, and autoimmunity: biological role in induction, regulation, and treatment. Front Immunol. 2022;13:919973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Rosen DB, Murphy EA, Gejman RS et al. Cytokine response over the course of COVID-19 infection in pregnant women. Cytokine. 2022;154:155894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Satis H, Ozger HS, Aysert Yildiz P et al. Prognostic value of interleukin-18 and its association with other inflammatory markers and disease severity in COVID-19. Cytokine. 2021;137:155302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Trifonova I, Ngoc K, Nikolova M et al. Patterns of cytokine and chemokine expression in peripheral blood of patients with COVID-19 associated with disease severity. Int J Immunopathol Pharmacol. 2023;37:3946320231163681. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Huang C, Wang Y, Li X et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497–506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Yang Y, Shen C, Li J et al. Plasma IP-10 and MCP-3 levels are highly associated with disease severity and predict the progression of COVID-19. J Allergy Clin Immunol. 2020;146(1):119–127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Wang K, Wang H, Lou W et al. IP-10 promotes blood-brain barrier damage by inducing tumor necrosis factor alpha production in japanese encephalitis. Front Immunol. 2018;9:1148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Faure E, Poissy J, Goffard A et al. Distinct immune response in two MERS-CoV-infected patients: can we go from bench to bedside?. PLoS One. 2014;9(2):e88716. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Wang S, Le TQ, Kurihara N et al. Influenza virus-cytokine-protease cycle in the pathogenesis of vascular hyperpermeability in severe influenza. J Infect Dis. 2010;202(7):991–1001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Amin DN, Rottenberg ME, Thomsen AR et al. Expression and role of CXCL10 during the encephalitic stage of experimental and clinical African trypanosomiasis. J Infect Dis. 2009;200(10):1556–1565. [DOI] [PubMed] [Google Scholar]
- 48. Chai Q, She R, Huang Y, Fu ZF. Expression of neuronal CXCL10 induced by rabies virus infection initiates infiltration of inflammatory cells, production of chemokines and cytokines, and enhancement of blood-brain barrier permeability. J Virol. 2015;89(1):870–876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Li F, Wang Y, Yu L et al. Viral infection of the Central nervous system and neuroinflammation precede blood-brain barrier disruption during japanese Encephalitis Virus infection. J Virol. 2015;89(10):5602–5614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Marti JL Gomez, Wells A, Brufsky AM. Dysregulation of the mevalonate pathway during SARS-CoV-2 infection: an in silico study. J Med Virol. 2021;93(4):2396–2405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Gupta A, Jayakumar MN, Saleh MA et al. SARS-CoV-2 infection- induced growth factors play differential roles in COVID-19 pathogenesis. Life Sci. 2022;304:120703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Perreau M, Suffiotti M, Marques-Vidal P et al. The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients. Nat Commun. 2021;12(1):4888. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Sanchez-de Prada L, Gorgojo-Galindo O, Fierro I et al. Time evolution of cytokine profiles associated with mortality in COVID-19 hospitalized patients. Front Immunol. 2022;13:946730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Young BE, Ong SWX, Ng LFP et al. Viral dynamics and immune correlates of coronavirus disease 2019 (COVID-19) severity. Clin Infect Dis. 2021;73(9):e2932–e2942. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Meizlish ML, Pine AB, Bishai JD et al. A neutrophil activation signature predicts critical illness and mortality in COVID-19. Blood Adv. 2021;5(5):1164–1177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Haljasmagi L, Salumets A, Rumm AP et al. Longitudinal proteomic profiling reveals increased early inflammation and sustained apoptosis proteins in severe COVID-19. Sci Rep. 2020;10(1):20533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Markov PV, Ghafari M, Beer M et al. The evolution of SARS-CoV-2. Nat Rev Micro. 2023;21(6):361–379. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data underlying this article will be shared on reasonable request to the corresponding author.




